Change CacheMetrics to be quicker
We change it so that each cache has an individual CacheMetric, instead of having one global CacheMetric. This means that when a cache tries to increment a counter it does not need to go through so many indirections.
This commit is contained in:
parent
065e739d6e
commit
73c7112433
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@ -33,11 +33,7 @@ from .metric import (
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logger = logging.getLogger(__name__)
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logger = logging.getLogger(__name__)
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# We'll keep all the available metrics in a single toplevel dict, one shared
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all_metrics = []
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# for the entire process. We don't currently support per-HomeServer instances
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# of metrics, because in practice any one python VM will host only one
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# HomeServer anyway. This makes a lot of implementation neater
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all_metrics = {}
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class Metrics(object):
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class Metrics(object):
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@ -53,7 +49,7 @@ class Metrics(object):
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metric = metric_class(full_name, *args, **kwargs)
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metric = metric_class(full_name, *args, **kwargs)
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all_metrics[full_name] = metric
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all_metrics.append(metric)
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return metric
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return metric
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def register_counter(self, *args, **kwargs):
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def register_counter(self, *args, **kwargs):
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@ -84,12 +80,12 @@ def render_all():
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# TODO(paul): Internal hack
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# TODO(paul): Internal hack
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update_resource_metrics()
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update_resource_metrics()
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for name in sorted(all_metrics.keys()):
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for metric in all_metrics:
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try:
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try:
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strs += all_metrics[name].render()
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strs += metric.render()
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except Exception:
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except Exception:
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strs += ["# FAILED to render %s" % name]
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strs += ["# FAILED to render"]
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logger.exception("Failed to render %s metric", name)
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logger.exception("Failed to render metric")
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strs.append("") # to generate a final CRLF
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strs.append("") # to generate a final CRLF
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@ -47,9 +47,6 @@ class BaseMetric(object):
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for k, v in zip(self.labels, values)])
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for k, v in zip(self.labels, values)])
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)
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)
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def render(self):
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return map_concat(self.render_item, sorted(self.counts.keys()))
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class CounterMetric(BaseMetric):
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class CounterMetric(BaseMetric):
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"""The simplest kind of metric; one that stores a monotonically-increasing
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"""The simplest kind of metric; one that stores a monotonically-increasing
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@ -83,6 +80,9 @@ class CounterMetric(BaseMetric):
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def render_item(self, k):
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def render_item(self, k):
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return ["%s%s %d" % (self.name, self._render_key(k), self.counts[k])]
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return ["%s%s %d" % (self.name, self._render_key(k), self.counts[k])]
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def render(self):
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return map_concat(self.render_item, sorted(self.counts.keys()))
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class CallbackMetric(BaseMetric):
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class CallbackMetric(BaseMetric):
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"""A metric that returns the numeric value returned by a callback whenever
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"""A metric that returns the numeric value returned by a callback whenever
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@ -126,30 +126,30 @@ class DistributionMetric(object):
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class CacheMetric(object):
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class CacheMetric(object):
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"""A combination of two CounterMetrics, one to count cache hits and one to
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__slots__ = ("name", "cache_name", "hits", "misses", "size_callback")
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count a total, and a callback metric to yield the current size.
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This metric generates standard metric name pairs, so that monitoring rules
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def __init__(self, name, size_callback, cache_name):
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can easily be applied to measure hit ratio."""
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def __init__(self, name, size_callback, labels=[]):
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self.name = name
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self.name = name
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self.cache_name = cache_name
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self.hits = CounterMetric(name + ":hits", labels=labels)
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self.hits = 0
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self.total = CounterMetric(name + ":total", labels=labels)
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self.misses = 0
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self.size = CallbackMetric(
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self.size_callback = size_callback
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name + ":size",
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callback=size_callback,
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labels=labels,
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)
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def inc_hits(self, *values):
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def inc_hits(self):
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self.hits.inc(*values)
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self.hits += 1
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self.total.inc(*values)
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def inc_misses(self, *values):
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def inc_misses(self):
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self.total.inc(*values)
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self.misses += 1
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def render(self):
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def render(self):
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return self.hits.render() + self.total.render() + self.size.render()
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size = self.size_callback()
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hits = self.hits
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total = self.misses + self.hits
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return [
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"""%s:hits{name="%s"} %d""" % (self.name, self.cache_name, hits),
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"""%s:total{name="%s"} %d""" % (self.name, self.cache_name, total),
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"""%s:size{name="%s"} %d""" % (self.name, self.cache_name, size),
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]
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@ -24,12 +24,22 @@ DEBUG_CACHES = False
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metrics = synapse.metrics.get_metrics_for("synapse.util.caches")
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metrics = synapse.metrics.get_metrics_for("synapse.util.caches")
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caches_by_name = {}
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caches_by_name = {}
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cache_counter = metrics.register_cache(
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# cache_counter = metrics.register_cache(
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# "cache",
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# lambda: {(name,): len(caches_by_name[name]) for name in caches_by_name.keys()},
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# labels=["name"],
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# )
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def register_cache(name, cache):
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caches_by_name[name] = cache
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return metrics.register_cache(
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"cache",
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"cache",
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lambda: {(name,): len(caches_by_name[name]) for name in caches_by_name.keys()},
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lambda: len(cache),
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labels=["name"],
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name,
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)
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)
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_string_cache = LruCache(int(5000 * CACHE_SIZE_FACTOR))
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_string_cache = LruCache(int(5000 * CACHE_SIZE_FACTOR))
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caches_by_name["string_cache"] = _string_cache
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caches_by_name["string_cache"] = _string_cache
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@ -22,7 +22,7 @@ from synapse.util.logcontext import (
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PreserveLoggingContext, preserve_context_over_deferred, preserve_context_over_fn
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PreserveLoggingContext, preserve_context_over_deferred, preserve_context_over_fn
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)
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)
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from . import caches_by_name, DEBUG_CACHES, cache_counter
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from . import DEBUG_CACHES, register_cache
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from twisted.internet import defer
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from twisted.internet import defer
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@ -43,6 +43,15 @@ CACHE_SIZE_FACTOR = float(os.environ.get("SYNAPSE_CACHE_FACTOR", 0.1))
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class Cache(object):
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class Cache(object):
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__slots__ = (
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"cache",
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"max_entries",
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"name",
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"keylen",
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"sequence",
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"thread",
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"metrics",
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)
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def __init__(self, name, max_entries=1000, keylen=1, lru=True, tree=False):
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def __init__(self, name, max_entries=1000, keylen=1, lru=True, tree=False):
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if lru:
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if lru:
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@ -59,7 +68,7 @@ class Cache(object):
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self.keylen = keylen
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self.keylen = keylen
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self.sequence = 0
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self.sequence = 0
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self.thread = None
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self.thread = None
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caches_by_name[name] = self.cache
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self.metrics = register_cache(name, self.cache)
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def check_thread(self):
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def check_thread(self):
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expected_thread = self.thread
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expected_thread = self.thread
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@ -74,10 +83,10 @@ class Cache(object):
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def get(self, key, default=_CacheSentinel):
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def get(self, key, default=_CacheSentinel):
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val = self.cache.get(key, _CacheSentinel)
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val = self.cache.get(key, _CacheSentinel)
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if val is not _CacheSentinel:
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if val is not _CacheSentinel:
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cache_counter.inc_hits(self.name)
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self.metrics.inc_hits()
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return val
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return val
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cache_counter.inc_misses(self.name)
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self.metrics.inc_misses()
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if default is _CacheSentinel:
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if default is _CacheSentinel:
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raise KeyError()
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raise KeyError()
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@ -15,7 +15,7 @@
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from synapse.util.caches.lrucache import LruCache
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from synapse.util.caches.lrucache import LruCache
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from collections import namedtuple
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from collections import namedtuple
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from . import caches_by_name, cache_counter
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from . import register_cache
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import threading
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import threading
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import logging
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import logging
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@ -43,7 +43,7 @@ class DictionaryCache(object):
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__slots__ = []
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__slots__ = []
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self.sentinel = Sentinel()
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self.sentinel = Sentinel()
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caches_by_name[name] = self.cache
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self.metrics = register_cache(name, self.cache)
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def check_thread(self):
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def check_thread(self):
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expected_thread = self.thread
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expected_thread = self.thread
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@ -58,7 +58,7 @@ class DictionaryCache(object):
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def get(self, key, dict_keys=None):
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def get(self, key, dict_keys=None):
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entry = self.cache.get(key, self.sentinel)
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entry = self.cache.get(key, self.sentinel)
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if entry is not self.sentinel:
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if entry is not self.sentinel:
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cache_counter.inc_hits(self.name)
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self.metrics.inc_hits()
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if dict_keys is None:
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if dict_keys is None:
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return DictionaryEntry(entry.full, dict(entry.value))
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return DictionaryEntry(entry.full, dict(entry.value))
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@ -69,7 +69,7 @@ class DictionaryCache(object):
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if k in entry.value
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if k in entry.value
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})
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})
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cache_counter.inc_misses(self.name)
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self.metrics.inc_misses()
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return DictionaryEntry(False, {})
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return DictionaryEntry(False, {})
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def invalidate(self, key):
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def invalidate(self, key):
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@ -13,7 +13,7 @@
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# See the License for the specific language governing permissions and
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# limitations under the License.
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from synapse.util.caches import cache_counter, caches_by_name
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from synapse.util.caches import register_cache
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import logging
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import logging
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@ -49,7 +49,7 @@ class ExpiringCache(object):
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self._cache = {}
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self._cache = {}
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caches_by_name[cache_name] = self._cache
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self.metrics = register_cache(cache_name, self._cache)
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def start(self):
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def start(self):
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if not self._expiry_ms:
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if not self._expiry_ms:
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@ -78,9 +78,9 @@ class ExpiringCache(object):
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def __getitem__(self, key):
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def __getitem__(self, key):
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try:
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try:
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entry = self._cache[key]
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entry = self._cache[key]
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cache_counter.inc_hits(self._cache_name)
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self.metrics.inc_hits()
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except KeyError:
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except KeyError:
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cache_counter.inc_misses(self._cache_name)
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self.metrics.inc_misses()
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raise
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raise
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if self._reset_expiry_on_get:
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if self._reset_expiry_on_get:
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@ -13,7 +13,7 @@
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# See the License for the specific language governing permissions and
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# limitations under the License.
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from synapse.util.caches import cache_counter, caches_by_name
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from synapse.util.caches import register_cache
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from blist import sorteddict
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from blist import sorteddict
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@ -42,7 +42,7 @@ class StreamChangeCache(object):
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self._cache = sorteddict()
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self._cache = sorteddict()
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self._earliest_known_stream_pos = current_stream_pos
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self._earliest_known_stream_pos = current_stream_pos
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self.name = name
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self.name = name
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caches_by_name[self.name] = self._cache
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self.metrics = register_cache(self.name, self._cache)
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for entity, stream_pos in prefilled_cache.items():
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for entity, stream_pos in prefilled_cache.items():
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self.entity_has_changed(entity, stream_pos)
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self.entity_has_changed(entity, stream_pos)
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@ -53,19 +53,19 @@ class StreamChangeCache(object):
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assert type(stream_pos) is int
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assert type(stream_pos) is int
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if stream_pos < self._earliest_known_stream_pos:
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if stream_pos < self._earliest_known_stream_pos:
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cache_counter.inc_misses(self.name)
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self.metrics.inc_misses()
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return True
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return True
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latest_entity_change_pos = self._entity_to_key.get(entity, None)
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latest_entity_change_pos = self._entity_to_key.get(entity, None)
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if latest_entity_change_pos is None:
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if latest_entity_change_pos is None:
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cache_counter.inc_hits(self.name)
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self.metrics.inc_hits()
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return False
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return False
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if stream_pos < latest_entity_change_pos:
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if stream_pos < latest_entity_change_pos:
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cache_counter.inc_misses(self.name)
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self.metrics.inc_misses()
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return True
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return True
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cache_counter.inc_hits(self.name)
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self.metrics.inc_hits()
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return False
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return False
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def get_entities_changed(self, entities, stream_pos):
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def get_entities_changed(self, entities, stream_pos):
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@ -82,10 +82,10 @@ class StreamChangeCache(object):
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self._cache[k] for k in keys[i:]
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self._cache[k] for k in keys[i:]
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).intersection(entities)
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).intersection(entities)
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cache_counter.inc_hits(self.name)
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self.metrics.inc_hits()
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else:
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else:
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result = entities
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result = entities
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cache_counter.inc_misses(self.name)
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self.metrics.inc_misses()
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return result
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return result
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@ -61,9 +61,6 @@ class CounterMetricTestCase(unittest.TestCase):
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'vector{method="PUT"} 1',
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'vector{method="PUT"} 1',
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])
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])
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# Check that passing too few values errors
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self.assertRaises(ValueError, counter.inc)
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class CallbackMetricTestCase(unittest.TestCase):
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class CallbackMetricTestCase(unittest.TestCase):
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@ -138,27 +135,27 @@ class CacheMetricTestCase(unittest.TestCase):
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def test_cache(self):
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def test_cache(self):
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d = dict()
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d = dict()
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metric = CacheMetric("cache", lambda: len(d))
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metric = CacheMetric("cache", lambda: len(d), "cache_name")
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self.assertEquals(metric.render(), [
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self.assertEquals(metric.render(), [
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'cache:hits 0',
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'cache:hits{name="cache_name"} 0',
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'cache:total 0',
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'cache:total{name="cache_name"} 0',
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'cache:size 0',
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'cache:size{name="cache_name"} 0',
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])
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])
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metric.inc_misses()
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metric.inc_misses()
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d["key"] = "value"
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d["key"] = "value"
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self.assertEquals(metric.render(), [
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self.assertEquals(metric.render(), [
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'cache:hits 0',
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'cache:hits{name="cache_name"} 0',
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'cache:total 1',
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'cache:total{name="cache_name"} 1',
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'cache:size 1',
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'cache:size{name="cache_name"} 1',
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])
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])
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metric.inc_hits()
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metric.inc_hits()
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self.assertEquals(metric.render(), [
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self.assertEquals(metric.render(), [
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'cache:hits 1',
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'cache:hits{name="cache_name"} 1',
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'cache:total 2',
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'cache:total{name="cache_name"} 2',
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'cache:size 1',
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'cache:size{name="cache_name"} 1',
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])
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])
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